20 October 2020>: Clinical Research
Use of Radiomics to Predict Response to Immunotherapy of Malignant Tumors of the Digestive System
Zhi Ji 1BEF* , Yong Cui 2ABC* , Zhi Peng 1DEF* , Jifang Gong 1CE , Hai-tao Zhu 2CD , Xiaotian Zhang 1AE , Jian Li 1CE , Ming Lu 1CF , Zhihao Lu 1AD , Lin Shen 1AFG* , Ying-shi Sun 2AFG*DOI: 10.12659/MSM.924671
Med Sci Monit 2020; 26:e924671
Table 5 Models for hyperprogression and their extracted CT features.
Model | First-order gray-level statistical features | Geometric features | Second-order texture features |
---|---|---|---|
CT features at baseline and first evaluation | Maximum gray value(Baseline)Maximum gray value(Evaluation) | – | NGTDM (n=1) |
Difference between CT features at baseline and first evaluation | Maximum gray value | – | – |